code: def uncertain_predict_f_moment_matching(
      self, Xmu: tf.Tensor, Xcov: tf.Tensor
  ) -> MeanAndVariance:
      return uncertain_conditional(
          Xmu,
          Xcov,
          self.inducing_variable,
          self.kernel,
          self.q_mu,
          self.q_sqrt,
          mean_function=self.mean_function,
          white=self.whiten,
          full_output_cov=self.full_output_cov,
      )
  
imports: from typing import Collection, Optional
  import numpy
  import pytest
  import tensorflow
  from check_shapes import ShapeChecker, check_shapes
  from numpy.testing import assert_allclose
  import gpflow
  from gpflow.base import AnyNDArray, MeanAndVariance
  from gpflow.conditionals import conditional, uncertain_conditional
  from gpflow.config import default_float
  from gpflow.mean_functions import Constant, Linear, MeanFunction, Zero
  from gpflow.quadrature import mvnquad
  from gpflow.utilities import training_loop
label_desc: Use image node_id 1 for calling the MomentMatchingSVGP obj's underlying member method code with example usage: obj.uncertain_predict_f_moment_matching(Xmu, Xcov) and returns: uncertain_conditional